Enabling AI for citizen science in fish ecology
Artificial Intelligence (AI) is revolutionizing ecology and conservation by enabling species recognition from photos and videos. Our project evaluates the capacity to expand AI for individual fish recognition for population assessment. The success of this effort would facilitate fisheries analysis at an unprecedented scale by engaging anglers and citizen scientists in imagery collection.This project is one of the first attempts to apply AI towards fish population assessment with citizen science.
Principal Investigator : Nathaniel P Hitt
Co-Investigator : Natalya I Rapstine, Mona (Contractor) Arami, Jeff T Falgout, Benjamin Letcher, Nicholas Polys
Cooperator/Partner : Sophia Liu, Fraser Hayes, Ky Wildermuth, Bryan Kelly, Andy Royle, Jason S Burton
- Source: USGS Sciencebase (id: 5e9db49c82ce172707fb8cdc)
Brook trout imagery data for individual recognition with deep learning
Annotated fish imagery data for individual and species recognition with deep learning
Comparison of underwater video with electrofishing and dive‐counts for stream fish abundance estimation
Nathaniel (Than) Hitt, PhD (Former Employee)
Research Fish Biologist
Sophia B. Liu, Ph.D. (Former Employee)
Crowdsourcing, Citizen Science, & Open Innovation Theme Lead
Artificial Intelligence (AI) is revolutionizing ecology and conservation by enabling species recognition from photos and videos. Our project evaluates the capacity to expand AI for individual fish recognition for population assessment. The success of this effort would facilitate fisheries analysis at an unprecedented scale by engaging anglers and citizen scientists in imagery collection.This project is one of the first attempts to apply AI towards fish population assessment with citizen science.
Principal Investigator : Nathaniel P Hitt
Co-Investigator : Natalya I Rapstine, Mona (Contractor) Arami, Jeff T Falgout, Benjamin Letcher, Nicholas Polys
Cooperator/Partner : Sophia Liu, Fraser Hayes, Ky Wildermuth, Bryan Kelly, Andy Royle, Jason S Burton
- Source: USGS Sciencebase (id: 5e9db49c82ce172707fb8cdc)